Automata for Branching and Layered Temporal Structures [electronic resource] : An Investigation into Regularities of Infinite Transition Systems / by Gabriele Puppis.

By:

Puppis, Gabriele [author.]

Contributor(s):

SpringerLink (Online service)

Series: Lecture Notes in Computer Science ; 5955Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: 206 p. 41 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783642118814

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TJ210.2-211.495

Online resources:

Click here to access online

Contents:

Word Automata and Time Granularities -- Tree Automata and Logics -- Summary.

In: Springer eBooksSummary: Since 2002, FoLLI awards an annual prize for an outstanding dissertation in the fields of Logic, Language, and Information. This book is based on the Ph.D. thesis of Gabriele Puppis, who was the winner of the E.W. Beth dissertation award for 2007. Puppis' thesis focuses on Logic and Computation and, more specifically, on automata-based decidability techniques for time granularity and on a new method for deciding Monadic Second Order theories of trees. The results presented represent a significant step towards a better understanding of the changes in granularity levels that humans make so easily in cognition of time, space, and other phenomena, whereas their logical and computational structure poses difficult conceptual and computational challenges.

Item type:

eBooks

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Word Automata and Time Granularities -- Tree Automata and Logics -- Summary.

Since 2002, FoLLI awards an annual prize for an outstanding dissertation in the fields of Logic, Language, and Information. This book is based on the Ph.D. thesis of Gabriele Puppis, who was the winner of the E.W. Beth dissertation award for 2007. Puppis' thesis focuses on Logic and Computation and, more specifically, on automata-based decidability techniques for time granularity and on a new method for deciding Monadic Second Order theories of trees. The results presented represent a significant step towards a better understanding of the changes in granularity levels that humans make so easily in cognition of time, space, and other phenomena, whereas their logical and computational structure poses difficult conceptual and computational challenges.